Canon Kabushiki Kaisha

Tokyo Metropolitan University

Okitsumo Incorporated

Toshiaki Kondo

Masayoshi Sekine

Masakazu Matsugu

Fumiaki Takahashi

Kotaro Yano

Katsumi Iijima

Jun Tokumitsu

Katsuhiko Mori

Isao Harigaya

Hiroyuki Kimura

Sunao Kurahashi

Motohiro Ishikawa

Shigeyuki Suda

Minoru Yoshii

Shingo Nozawa

Hisataka Hirose

Hideki Masuda

Izumi Matsui

Naoki Kawamata

Yoshiki Kino

Fumitaka Yoshioka

Takashi Toyonaga

Naoshi Kimura

An object is to provide a method for manufacturing a wavelength selective heat radiation material in which a surface roughness of an upper portion of a cavity wall defining each microcavity is suppressed or in which microcavities each having an aspect ratio larger than 3.0 are formed. For the wavelength selective heat radiation material, a base material having a mask having predetermined openings tightly adhered to a surface thereof, or a base material in which depressions are previously formed on one surface thereof by pressing a die having projections arrayed so as to correspond to positions of microcavities thereagainst, is subjected to anisotropic etching, thereby providing a wavelength selective heat radiation material in which the surface roughness of the upper portion of the cavity wall defining each of the microcavities is suppressed or a wavelength selective heat radiation material having microcavities whose each aspect ratio is larger than 3.0.

Wavelength selective heat radiation material selectively radiating heat radiation light corresponding to infrared ray transmission wavelength region of resin member and method for manufacturing the same

The objective of the present invention is to provide a simple and accurate process for extracting an object from an image, which is used to impose a great load for an operator. According to the present invention, an image processing apparatus comprises an object extracting unit, for performing a predetermined process for image data for a position or an area that is designated and for extracting a specific object from an image, an outline part deciding unit, for selecting and authenticating an arbitrary segment of an outline obtained by the extracting unit, and an outline synthesis unit, for linking and synthesizing together the outline segments that are authenticated. Since a closed curve is formed by synthesizing the outline segments obtained by repeating the above process, and the outline of the object is thus determined, the outline segment that is extracted from the image and matches the correct outline of the object is sequentially selected and authenticated. The thus authenticated outline segments are linked and synthesized to gradually form the overall outline of the object.

Image processing apparatus, image processing method, and storage medium

A user photographs an image including an object to be extracted, uses an instruction selection unit or the like to designate an extraction range, and an object extraction circuit performs extraction. The image data of an extracted object area is compressed/encoded, and stored together with photographing conditions into a storage unit. Subsequently, a background image is photographed or inputted. While the background image is displayed, the previously extracted object image is read from the storage unit. To suppress a difference in gradation and hue between the background image and the object image, the gradation and hue of the object image are adjusted, mixing and smoothing with the background image are performed in the vicinity of an object outline, and the object image is overwritten, synthesized, and displayed on the background image. The position and size of the object image are adjusted according to a user's instruction. Synthesized image data is recorded in a recording medium.

An image signal is input from an image input unit and is divided into different spatial frequency bands by applying a discrete wavelet transform thereto using a discrete wavelet transformation unit. On the basis of values of spatial frequency components, a region-of-interest extracts a region of interest by obtaining a distribution of motion vectors in the input image. A quantization unit applies quantization processing to the extracted region of interest and different quantization processing to other regions, and an encoder encodes the quantized image signal. Alternatively, motion of an image contained in the input image may be detected and the region of interest may be obtained based upon motion of this image.

Image encoding method and apparatus

A technique for automatically extracting a region of interest from a set of a plurality of images includes a scheme exploiting a motion vector, and a scheme based on an active contour model. But these schemes suffer various problems (e.g., detection resolution and precision are low, resolutions in units of pixels cannot be obtained, versatility is poor, and so forth). To solve these problems, when initial contour information in an image sensed at reference time is input, a feature point selector selects a plurality of feature points from its contour line, and stores the connectivity between these feature points in a memory. A corresponding point seeker seeks a plurality of corresponding points, which respectively correspond to the plurality of selected feature points, from an image to be sought, which is sensed at another time, and the contour between the plurality of found corresponding points is extracted on the basis of the stored connectivity.

Image processing apparatus and method

An image sensing apparatus includes an image input unit () for inputting an image, a detection unit () for detecting a state of movement of the image input unit () in an image input operation, a storage unit () for storing a plurality of images input by the image input unit () and movement information corresponding to the state of movement detected by the detection unit (), and an image generating unit () for generating an image from an arbitrary viewpoint position on the basis of the plurality of images and the movement information stored in the storage unit.

Virtual image sensing and generating method and apparatus

A movement vector detecting device is provided with a movement vector detecting circuit for detecting a movement vector in each of blocks obtained by dividing an image frame, an edge number detecting circuit for detecting the number of edges in each of the blocks, and an evaluation circuit for evaluating the reliability of the movement vector value detected by the movement vector detecting circiut, based on the number of edges detected by the edge number detecting circuit.

Movement vector detecting device

Image processing apparatus image processing method, and storage medium

When a dispersion value of a shading value is equal to or more than a threshold value in the neighborhood of a standard point, it is determined that an image pattern has a texture dominant characteristic. When the value is less than the threshold value, a change of the shading value is determined to be moderate (S ). When the dispersion value is equal to or more than the threshold value (S ), a texture characteristic amount is loaded (S ), a characteristic amount suitable for area growth (e.g., texture energy) is calculated (S ), and a distance D concerning the texture characteristic amount is obtained (S ). When the dispersion value is less than the threshold value (S ), a color component characteristic amount is loaded (S ), a characteristic amount suitable for the area growth (e.g., a characteristic vector obtained from a local histogram concerning a color component or a list of representative color components) is extracted (S ), and a distance D concerning the color component is obtained (S ). The area is grown based on the corresponding characteristic amount (S , S ), and a renewal position is determined based on a new borderline of a core area obtained by unifying area growth results from standard points (S ).

Image processing method, image processing apparatus, and storage medium

There is disclosed an image processing apparatus. A contour interval intended to be extracted is designated (S ). A start point designated in S is used as the initial position of an attended point, and an end point is set as a target point of contour tracing (S ). A positional relation of the attended point and the target point is calculated (S ). A blind mask for blinding pixels in the vicinity of the attended point is prepared (S ). This mask processing permits a considerably free contour line tracing, while setting a restriction to securely converge to the target point. The pixel with the maximum edge strength is searched for from the pixels in the vicinity of the attended point (S ), and the searched contour pixel is set as a new attended point (S ). The operation is repeated from S to S until the new attended point reaches the target point (S ).

Image processing apparatus, method and storage medium

The image of a processing target is input. A feature quantity extraction device obtains a feature quantity distribution of the input image, and makes it binary. When desired template data is selected by a user, a template data generation device automatically generates a plurality of template sets different in size from each other from the selected template data. A template scan device raster-scans each template on the respective images with a predetermined sampling pitch according to the size, and obtains the first shape fit at each position. When the user instructs start of extraction execution processing, a template figure element deformation device shifts the representative point of a figure element constituting the template figure within the shift range, and generates a new curve segment interconnecting the representative points after shift. By a shape fit evaluation device evaluating the second shape fit at each portion, the representative point is shifted such that the second shape fit becomes not less than a predetermined reference value or the maximum, and finally, a boundary generation device generates a line interconnecting the representative points.

Image processing method and apparatus, and storage medium

An image processing apparatus in which a plurality of images obtained by photographing a three-dimensional object from a plurality of viewpoints are integrated by using image-pickup parameters such as position, pose, focal lengths, and aberration information of a camera at these viewpoints, thereby integrating shapes at arbitrary viewpoints of the three-dimensional object.

Image processing apparatus

There is provided configuration for enabling extraction of the concerned area with simple operations. An arbitrary position within the desired concerned area is designated by the position designation means, and the pixel color of the designated position is stored in the memory. The tolerable color difference setting means sets the initial color difference from the pixel color of the designated position as 0. The pixel group (within tolerable color difference) extraction means extracts the pixels within the tolerable color difference from all the pixels. The adjacent pixel group (within tolerable color difference) selective display means selectively displays the pixel group including the pixel of the designated position, based on the result of extraction by the extraction means. At each execution by the selective display means, the tolerable color difference setting means increases the tolerable color difference. Thereafter the extraction means and the selective display means repeat the execution. The means and repeat the execution until the end of process is instructed.

Image processing apparatus, image processing method and memory medium

For facilitating the search of corresponding points in plural images obtained from plural image pickup systems, in obtaining left and right images from left and right image pickup systems and searching two corresponding points in the two images by a corresponding point extraction unit, the search range thereof is determined according to the phototaking parameters of the image pickup systems. The paired corresponding points, thus extracted, are synthesized, in a synthesis/conversion unit, into a panoramic image or a high definition image. Thus achieved are a reduction in the search time and an improvement in the precision of search.

Compound eye image pickup device utilizing plural image sensors and plural lenses

An image processing apparatus comprising a signal conversion circuit for changing input/output characteristics in accordance with a shift position of an image is arranged between a detection circuit for detecting a relative movement between a camera and an object to be photographed and an image shift circuit for shifting the image in accordance with a detection result of the detection circuit.

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Fujisawa, Japan

Toshiaki Kondo